Evidence map›Paper›PMID 38708230›Full record

ArticleACS omega2024

Computational Analysis of Biodegradable Polyester Materials for Biomedical Applications: Investigating Molecular Weight Change due to Hydrolysis.

Aeneas Jerron Velu, Pathmathas Thirunavukkarasu, Talal Rahman, Kamal Mustafa, Dhayalan Velauthapillai

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aeneas Jerron VeluClean Energy Research Laboratory, Department of Physics, University of Jaffna, Jaffna 40000, Sri Lanka.
Pathmathas ThirunavukkarasuClean Energy Research Laboratory, Department of Physics, University of Jaffna, Jaffna 40000, Sri Lanka.
Talal RahmanDepartment of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen 5063, Norway.
Kamal MustafaCenter of Translational Oral Research-Tissue Engineering, Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen 5009, Norway.
Dhayalan VelauthapillaiDepartment of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen 5063, Norway.ORCID https://orcid.org/0000-0002-4162-7446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biopolymers have gained significant importance in the field of biomedicine, particularly in addressing organ and tissue loss in living organisms. These polymers exhibit temporary functionality during treatment and undergo biodegradation once their intended purpose is fulfilled. The diverse characteristics of these biopolymers expand their range of applications, albeit necessitating extensive experimentation and a time commitment for thorough investigation. Computational models have emerged as a promising avenue for predictive analysis, complementing traditional experimental methods. In this study, we delve into the degradation dynamics of polyester materials with a specific emphasis on the hydrolysis process. We employed an appropriate reaction diffusion model to unveil the underlying mechanisms governing material weight loss and erosion within a two-dimensional framework for a rectangular slice of the implant. By bridging computational modeling with empirical research, this study provides valuable insights into the behavior of biopolymers, contributing to a deeper understanding of these materials and their potential for advanced biomedical applications. To illustrate this framework's effectiveness, we conducted a case study using experimental data from the literature, focusing on poly(d,l-lactic acid) material.

Identifiers

PMID38708230
PMCPMC11063999

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.